US 12,136,915 B2
Capacitive sensor, electronic device, and electronic device control method
Gang Ni, Nanjing (CN); Xijin Tan, Shenzhen (CN); Qirui Huang, Singapore (SG); Lifeng Sun, Shenzhen (CN); Huimin Zhang, Shenzhen (CN); and Yida Li, Singapore (SG)
Assigned to Huawei Technologies Co., Ltd, Shenzhen (CN); and National University of Singapore, Singapore (SG)
Filed by HUAWEI TECHNOLOGIES CO., LTD., Shenzhen (CN); and National University of Singapore, Singapore (SG)
Filed on Sep. 26, 2022, as Appl. No. 17/953,080.
Application 17/953,080 is a continuation of application No. PCT/CN2020/081363, filed on Mar. 26, 2020.
Prior Publication US 2023/0015735 A1, Jan. 19, 2023
Int. Cl. H03K 17/955 (2006.01); G06F 3/01 (2006.01); H03K 17/945 (2006.01)
CPC H03K 17/955 (2013.01) [G06F 3/011 (2013.01); G06F 3/017 (2013.01); H03K 2017/9455 (2013.01)] 9 Claims
OG exemplary drawing
 
1. An electronic device, comprising:
a capacitive sensor configured to detect an air gesture of a user and generate a detection signal based on fringe field effect, wherein the detection signal indicates a capacitance change of the capacitive sensor; and
a control unit configured to recognize the air gesture of the user based on the detection signal and control the electronic device to perform an operation matching the air gesture of the user,
wherein the capacitive sensor comprises M plate pairs, and wherein each of the M plate pairs comprises a first plate and a second plate that are placed opposite to each other, a ratio of a plate length of each plate pair to a spacing between the plates in each plate pair is greater than 1 and less than or equal to 30, and M is an integer greater than or equal to 1, and
wherein the control unit is further configured to input the detection signal into a gesture recognition model for processing to recognize the air gesture of the user, wherein the gesture recognition model is a neural network model trained based on training data, and wherein the training data comprises a plurality of detection signals and air gestures corresponding to the plurality of detection signals.